yzhao062/pyod

Does input data not support sparse matrix ?

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#140 opened on Nov 5, 2019

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 (2 comments) (0 reactions) (1 assignee)Python (7,762 stars) (1,308 forks)batch import
New Featurehelp wanted

Description

train_X is A sparse matrix call fit(train_X) raise TypeError('A sparse matrix was passed, but dense ' TypeError: A sparse matrix was passed, but dense data is required. Use X.toarray() to convert to a dense numpy array.

Contributor guide

Tech stack
pythonnumpy
Domain
datamachine learning
Issue type
bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
pythonnumpyscipy sparse
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
The issue asks for support of sparse matrices in the fit() method, which currently raises a TypeError requiring explicit conversion to dense. The resolution could involve automatically converting sparse inputs to dense via toarray() or adding native sparse support. The assignee may have started work; check for any related branches or comments. Review the base estimator class (e.g., pyod/models/base.py) to identify where the dense conversion is enforced and determine the best approach.